Springer Soft Computing Special Issue on Real Time Image Processing Systems using Fuzzy and Rough Sets Techniques


Multimedia systems are increasingly required to provide advanced real time features with reliable performance and low cost. In particular, real time image processing techniques are used in a number of domains of science, technology, and business. Emerging requirements for such techniques include fast detection and exploitation of any valuable information that can be extracted from multimedia content, even in presence of uncertainty and noise. Although some basic building blocks of real time image processing are already in place, many challenging issues remain to be resolved.

In this special issue we will focus on how extract valuable information in real time from images which are incomplete, noisy, imprecise, fragmentary, vague, contradictory, deficient, and overloaded, and refine it reliably within the short deadlines of practical multimedia applications. In other words, we will look for contributions describing how uncertain data is transitioned to reliable information which are easily treated.

In the last decade, fuzzy (and rough) set theory has greatly contributed to signal processing in general and to image processing in particular, showing great potential to solve hard problems.
In the 2013-2015 timeframe more than 100 journal papers and around 800 conference papers have been published dealing with fuzzy techniques for image processing, and a further 53 conference papers and 19 journal papers dealt with rough set image analysis techniques.

Using fuzzy techniques for real-time image processing is a more recent trend. It is however growing fast: many academic and industrial research groups are active worldwide. Last year around 10 journal and more than 50 conference papers were published discussing how fuzzy and rough sets theory can support fast algorithms for real-time image processing.

This special issue is intended to provide a highly recognized international forum to presenting innovative developments of fuzzy set applications in Real Time Image Processing systems. The ultimate objective is to bring together well-focused, top quality research contributions, providing to the general image processing community an opportunity to get an overall view of recent results, to identify the most promising avenues and to promote the visibility and relevance of fuzzy techniques.

The intent is to raise collective awareness of the domain of Real Time Image Processing technologies as a highly promising area to be pursued by the fuzzy and rough set research community.

Topics Covered include (but are not limited to)

Fuzzy and rough sets hybrid technology for

  • Digital images and watermarking
  • Bio-imaging
  • Multimedia system modeling
  • Data compression and analysis
  • Color and illumination processing
  • Sampling and interpolation
  • Camera technology
  • Pattern Recognition & Image and video Processing
  • Spatio-Temporal Data Mining & Reasoning
  • Quantization and halftoning
  • Quality assessment
  • Fast filtering and enhancement
  • Edge detection and segmentation
  • Feature extraction
  • Indexing and retrieval
  • Sensor array and multichannel signal processing

Submission Guidelines

All submissions will be peer reviewed according to the Soft Computing guidelines. Submitted articles should not have been published or be under review elsewhere. Submit your manuscript on http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/500 and select the “RTIP-FR” special issue manuscript type.


Guest Editors

Prof. Ernesto Damiani

Department of Computer Engineering
Khalifa University of Technology, Abu Dhabi, UAE
e-mail: ernesto.damiani@kustar.ac.ae

Dr. Marco Anisetti

Dipartimento di Informatica
Università degli Studi di Milano
e-mail: marco.anisetti@unimi.it

Prof. Gwanggil Jeon

Department of Embedded Systems Engineering
Incheon National University
e-mail: gjeon@inu.ac.kr

Prof. Olivier Monga

Directeur de Recherche
Institut de Recherche pour le Developpement (IRD), Paris, France
e-mail: olivier.monga@ird.fr